{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "7e506c3e-9894-4a0a-86cc-4d23c6de8af5",
   "metadata": {},
   "source": [
    "# Example and test notebook for *ihaskell-plot*\n",
    "\n",
    "Example from https://hackage.haskell.org/package/plot-0.2.3.9/docs/Graphics-Rendering-Plot.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "439e09ed-557a-4532-82bd-7779ee5eba20",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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   ],
   "source": [
    "{-# LANGUAGE FlexibleContexts #-}\n",
    "\n",
    "import Graphics.Rendering.Plot\n",
    "import qualified Numeric.LinearAlgebra as LinAlg\n",
    "\n",
    "-- Create some data\n",
    "\n",
    "let\n",
    "  stddev = sqrt . foldl (\\acc x -> acc + (x*x))\n",
    "\n",
    "  ln = 25\n",
    "  ts = LinAlg.linspace ln (0,1)\n",
    "  -- rs = LinAlg.randomVector 0 LinAlg.Gaussian ln\n",
    "  -- ss = sin (15*2*pi*ts)\n",
    "  -- ds = 0.25*rs + ss\n",
    "  -- es = LinAlg.konst (0.25*(stddev rs)) ln\n",
    "\n",
    "  fs :: Double -> Double\n",
    "  fs = sin . (15*2*pi*)\n",
    "\n",
    "-- Perform actions in 'Figure a' to create a figure\n",
    "\n",
    "test_graph :: Figure ()\n",
    "test_graph = do\n",
    "        withTextDefaults $ setFontFamily \"OpenSymbol\"\n",
    "        withTitle $ setText \"Testing plot package:\"\n",
    "        withSubTitle $ do\n",
    "                       setText \"with 1 second of a 15Hz sine wave\"\n",
    "                       setFontSize 10\n",
    "        setPlots 1 1\n",
    "        withPlot (1,1) $ do\n",
    "                         -- setDataset (ts,[point (ds,es) (Cross,red),line fs blue])\n",
    "                         setDataset (ts,[line fs blue])\n",
    "                         addAxis XAxis (Side Lower) $ withAxisLabel $ setText \"time (s)\"\n",
    "                         addAxis YAxis (Side Lower) $ withAxisLabel $ setText \"amplitude\"\n",
    "                         addAxis XAxis (Value 0) $ return ()\n",
    "                         setRangeFromData XAxis Lower Linear\n",
    "                         setRange YAxis Lower Linear (-1.25) 1.25\n",
    "                         \n",
    "test_graph "
   ]
  }
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